The 51st International Conference on Very Large Data Bases (VLDB 2025) is dedicated to issues in data management, database and information systems research.
Topics
- Data Privacy and Security
- Blockchain
- Access control and privacy
- Data Mining and Analytics
- Mining/analysis of different types of data (e.g., scientific/business, social networks, streams, text, web, graphs, rules, patterns, logs, and spatio-temporal)
- Data warehousing, OLAP, parallel and distributed data mining
- Distributed Database Systems
- Data networking and content delivery
- Cloud data management, resource management, database as a service
- Distributed transactions
- Distributed analytics
- Database Engines
- Currency control, recovery, and transactions
- Access methods
- Multi-core processing and hardware acceleration
- Memory and storage management
- Views, indexing, and search
- Query processing and optimization
- Administration and manageability
- Database Performance and Manageability
- Tuning, benchmarking, and performance measurement
- Information Integration and Data Quality
- Heterogeneous and federated DBMS, metadata management
- Data cleaning, data preparation
- Schema matching, data integration
- Knowledge graphs and knowledge management
- Web data management and Semantic Web
- Source discovery
- Graph and Network Data
- Hierarchical, non-relational, and other modern data models
- Graph data management
- Social networks
- Machine Learning, AI, and Databases
- Data management issues and support for ML and AI
- Applied ML and AI for data management
- Languages
- Schema management and design
- Data models and query languages
- Provenance and Workflows
- Process mining
- Debugging
- Provenance analytics
- Profile-based and context-aware data management
- Novel Database Architectures
- Embedded and mobile databases
- Data management on novel hardware
- Real-time databases, sensors and IoT, stream databases
- Energy-efficient data systems
- Video management and analytics systems
- Text and Semi-Structured Data
- Information retrieval
- Data extraction
- Text in databases
- Semi-structured data management, RDF
- Specialized and Domain-Specific Data Management
- Ethical data management
- Crowdsourcing
- Image and multimedia databases
- Fuzzy, probabilistic, and approximate data
- Spatial and temporal databases
- Scientific and medical data management
- User Interfaces
- Database support for visual analytics
- Data exploration tools
- Database usability
Who should Attend
Data management and database vendors, researchers, application developers, practitioners and users.
